Plenoptic image watermarking to preserve copyright

Ansari, Amir H.; Dorado, Adrián; Saavedra, Genaro; Martı́nez-Corral, Manuel

doi:10.1117/12.2263452

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…The spatial and angular information of the scene has attracted significant attention in various 3D capturing [1], [2], processing [3] and rendering applications [4]- [7]. The idea to capture angular information along with spatial information was initially proposed by G. Lippmann in 1908 [8].…”

Section: Introductionmentioning

confidence: 99%

Shearlet Transform-Based Light Field Compression Under Low Bitrates

Waqas

Vagharshakyan

Sjöström

et al. 2020

IEEE Trans. on Image Process.

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Light field (LF) acquisition devices capture spatial and angular information of the scene. In contrast with traditional cameras, the additional angular information enables novel post-processing applications such as 3D scene reconstruction, refocusing at different depth planes, and synthetic aperture. In this paper, we present a novel compression scheme for LF data captured using multiple traditional cameras. The input LF views are divided into two groups, i.e. key views and decimated views. The key views are compressed using multiview extension of High Efficiency Video Coding (MV-HEVC) scheme and decimated views are predicted using the shearlet transform based prediction (STBP) scheme. Additionally, the residual information of predicted views is also encoded and sent along with the coded stream of key views. The proposed scheme is evaluated over benchmark multi-camera based LF dataset and it is demonstrated that incorporating the residual information into compression scheme increases the overall PSNR by 2 dB. The proposed compression scheme performs significantly better in low bit-rates compared to anchor schemes whose compression efficiency is better in high bit-rate scenarios. The sensitivity of the human vision system towards compression artifacts specifically in low bit-rates favors the proposed compression scheme over the anchor schemes.

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Section: Introductionmentioning

confidence: 99%

Shearlet Transform-Based Light Field Compression Under Low Bitrates

Waqas

Vagharshakyan

Sjöström

et al. 2020

IEEE Trans. on Image Process.

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show abstract

“…The semi-fragile watermarking methods provide good robustness against some attacks and are vulnerable against others [10], [11]. A typical application of the robust watermarking is ownership protection [4], [11] and fragile watermarking is widely used to verify the image authenticity and tamper detection [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Robust Light Field Watermarking by 4D Wavelet Transform

2020

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Unlike common 2D images, the light field representation of a scene delivers spatial and angular description which is of paramount importance for 3D reconstruction. Despite the numerous methods proposed for 2D image watermarking, such methods do not address the angular information of the light field. Hence the exploitation of such methods may cause severe destruction of the angular information. In this paper, we propose a novel method for light field watermarking with extensive consideration of the spatial and angular information. Considering the 4D innate of the light field, the proposed method incorporates 4D wavelet for the purpose of watermarking and converts the heavily-correlated channels from RGB domain to YUV. The robustness of the proposed method has been evaluated against common image processing attacks.

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“…In the recent past, capturing the spatial and angular information of a scene [1], [2] has influenced numerous research problems, namely reconstructing 3D scenes [3], [4], processing [5]- [8], rendering novel views [9], [10], and refocusing [11], [12]. G. Lippmann [13] introduced the concept of recording spatial and angular information in 1908.…”

Section: Introductionmentioning

confidence: 99%

Computationally Efficient Light Field Image Compression Using a Multiview HEVC Framework

et al. 2019

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The acquisition of the spatial and angular information of a scene using light field (LF) technologies supplement a wide range of post-processing applications, such as scene reconstruction, refocusing, virtual view synthesis, and so forth. The additional angular information possessed by LF data increases the size of the overall data captured while offering the same spatial resolution. The main contributor to the size of captured data (i.e., angular information) contains a high correlation that is exploited by state-of-the-art video encoders by treating the LF as a pseudo video sequence (PVS). The interpretation of LF as a single PVS restricts the encoding scheme to only utilize a single-dimensional angular correlation present in the LF data. In this paper, we present an LF compression framework that efficiently exploits the spatial and angular correlation using a multiview extension of high-efficiency video coding (MV-HEVC). The input LF views are converted into multiple PVSs and are organized hierarchically. The rate-allocation scheme takes into account the assigned organization of frames and distributes quality/bits among them accordingly. Subsequently, the reference picture selection scheme prioritizes the reference frames based on the assigned quality. The proposed compression scheme is evaluated by following the common test conditions set by JPEG Pleno. The proposed scheme performs 0.75 dB better compared to state-of-the-art compression schemes and 2.5 dB better compared to the x265-based JPEG Pleno anchor scheme. Moreover, an optimized motionsearch scheme is proposed in the framework that reduces the computational complexity (in terms of the sum of absolute difference [SAD] computations) of motion estimation by up to 87% with a negligible loss in visual quality (approximately 0.05 dB).INDEX TERMS Compression, light field, MV-HEVC, plenoptic.

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Plenoptic image watermarking to preserve copyright

Cited by 3 publications

References 12 publications

Shearlet Transform-Based Light Field Compression Under Low Bitrates

Shearlet Transform-Based Light Field Compression Under Low Bitrates

Robust Light Field Watermarking by 4D Wavelet Transform

Computationally Efficient Light Field Image Compression Using a Multiview HEVC Framework

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